
Editorial
Consistency Monitoring of Wind Turbine Blade Loads Based on MEMS Optical Fiber Sensing
@ARTICLE{10.4108/ew.9387, author={Yong Xue and Yang Li and Xiangye Fan and Binshan Xie and Zhiyuan Ma and Lin Lin and Mengnan Cao }, title={Consistency Monitoring of Wind Turbine Blade Loads Based on MEMS Optical Fiber Sensing}, journal={EAI Endorsed Transactions on Energy Web}, volume={12}, number={1}, publisher={EAI}, journal_a={EW}, year={2025}, month={10}, keywords={MEMS-FBG Sensors, Wind Turbine Blade Monitoring, Load Consistency Index, Strain-to-Load Calibration, SCADA Integration, Signal Drift Analysis , Anomaly Detection}, doi={10.4108/ew.9387} }- Yong Xue
Yang Li
Xiangye Fan
Binshan Xie
Zhiyuan Ma
Lin Lin
Mengnan Cao
Year: 2025
Consistency Monitoring of Wind Turbine Blade Loads Based on MEMS Optical Fiber Sensing
EW
EAI
DOI: 10.4108/ew.9387
Abstract
INTRODUCTION: This paper presents a comprehensive structural monitoring framework for wind turbine blades based on MEMS-FBG (micro-electro-mechanical systems—fiber Bragg grating) sensor fusion technology. OBJECTIVES: The system integrates high-resolution strain and vibration sensing across multiple blade segments, combined with real-time data processing, fault detection, and SCADA-level visualization. METHODS: A multilayered load consistency model is introduced, incorporating thermal compensation, strain-to-load calibration, and a novel consistency index (η) to quantify inter-blade aerodynamic symmetry. RESULTS: Experimental validation was conducted on a 2.0 MW wind turbine over a 60-day continuous monitoring campaign. Static calibration demonstrated a load reconstruction accuracy within ±3%, while dynamic data revealed a strong correlation between load and blade vibration (R ≥ 0.86). CONCLUSION: Fault simulation through pitch angle manipulation confirmed the system’s rapid alarm response within 3 seconds for major asymmetry events. Additionally, signal drift testing showed MEMS-FBG sensors exhibited 80–95% lower drift than conventional resistance strain gauges under rotating and EMI-intensive conditions.
Copyright © 2025 Yong Xue et al., licensed to EAI. This is an open-access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.


